A soft multi-criteria decision analysis model with application to the European Union enlargement

Annals of Operations Research

Volumn 181, Issue 1, 2010, Pages 393-421

  Tavana, Madjid ^a   Sodenkamp, Mariya A ^b   Suhl, Leena ^b  

^a LA SALLE UNIVERSITY   (United States)

^b UNIVERSITY OF PADERBORN   (Germany)

Author keywords

Analytic hierarchy process; Defuzzification; Entropy and theory of displaced ideal; European Union enlargement; Fuzzy systems; Multi criteria decision analysis; Soft computing; SWOT

Indexed keywords

EID: 78649789124     PISSN: 02545330     EISSN: 15729338     Source Type: Journal    
DOI: 10.1007/s10479-010-0727-9     Document Type: Article

References (87)

1. Abacoumkin, C., & Ballis, A. (2004). Development of an expert system for the evaluation of conventional and innovative technologies in the intermodal transport area. European Journal of Operational Research, 152, 420-436.
2. Ali, Y. M., & Zhang, L. (2001). A methodology for fuzzy modeling of engineering systems. Fuzzy Sets and Systems, 118, 181-197.
3. Anderson, C., & Vince, J. (2002). Strategic marketing management. Boston: Houghton Mifflin.
4. Bailey, D., Goonetilleke, A., & Campbell, D. (2003). A new fuzzy multicriteria evaluation method for group site selection in GIS. Journal of Multicriteria Decision Analysis, 12, 337-347.
5. Belton, V., & Stewart, T. J. (2002). Multiple criteria decision analysis: an integrated approach. Norwell: Kluwer Academic.
6. Benoit, J. (1994). Water quality management with imprecise information. European Journal of Operational Research, 76(1), 15-27.
7. Buyukozkan, G., & Feyzioglu, O. (2002). A fuzzy logic based decision making approach for new product development. International Journal of Production Economics, 90, 27-45.
8. Costa, J. P., Melo, P., Godinho, P., & Dias, L. C. (2003). The AGAP system: a GDSS for project analysis and evaluation. European Journal of Operational Research, 145, 287-303.
9. De Luca, A., & Termini, S. (1972). A definition of a non-probabilistic entropy in the setting of fuzzy set theory. Information and Control, 20, 301-312.
10. Duarte, C., Ettkin, L. P., Helms, M. M., & Anderson, M. S. (2006). The challenge of Venezuela: a SWOT analysis. Competitiveness Review, 16(3/4), 233-247.
11. Dubois, D., & Prade, H. (1993). Fuzzy sets and probability: misunderstandings, bridges and gaps. In Proceedings of the second international conference on fuzzy systems (pp. 1059-1068).
12. Dubois, D., & Prade, H. (2000). Fundamentals of fuzzy sets. Norwel: Kluwer Academic.
13. Dyer, J. S. (1990a). Remarks on the analytic hierarchy process. Management Science, 36(3), 249-258.
14. Dyer, J. S. (1990b). A clarification of 'Remarks on the analytic hierarchy process'. Management Science, 36(3), 274-275.
15. Eleye-Datubo, A. G., Wall, A., & Wang, J. (2008). Marine and offshore safety assessment by incorporative risk modeling in a fuzzy-Bayesian network of an induced mass assignment paradigm. Risk Analysis, 28(1), 95-112.
16. Expert Choice [Computer Software] (2006). Decision support software, Inc., McLean, VA.
17. Festinger, L. (1964). Conflict, decision, and dissonance. London: Tavistock.
18. Friedlob, G. T., & Schleifer, L. L. F. (1999). Fuzzy logic: application for audit risk and uncertainty. Managerial Auditing Journal, 14(3), 127-137.
19. Ghazinoory, S., Esmail Zadeh, A., & Memariani, A. (2007). Fuzzy SWOT analysis. Journal of Intelligent & Fuzzy Systems, 18, 99-108.
20. Girotra, K., Terwiesch, C., & Ulrich, K. T. (2007). Valuing R& D projects in a portfolio: evidence from the pharmaceutical industry. Management Science, 53, 1452-1466.
21. Gouveia, M. C., Dias, L. C., & Antunes, C. H. (2008). Additive DEA based on MCDA with imprecise information. The Journal of the Operational Research Society, 59, 54-63.
22. Graves, S. B., & Ringuest, J. L. (1991). Evaluating competing R& D investments. Research-Technology Management, 34(4), 32-36.
23. Harker, P. T., & Vargas, L. G. (1987). The theory of ratio scale estimation: Saaty's analytic hierarchy process. Management Science, 33, 1383-1403.
24. Harker, P. T., & Vargas, L. G. (1990). Reply to 'Remarks on the analytic hierarchy process' by J. S. Dyer. Management Science, 36(3), 269-273.
25. Hitt, M. A., Ireland, R. D., & Hoskisson, R. E. (2000). Strategic management: competitiveness and globalization (4th ed.). Cincinnati: South-Western College Publishing.
26. Ho, W. (2008). Integrated analytic hierarchy process and its applications-a literature review. European Journal of Operational Research, 186, 211-228.
27. Hsieh, T.-Y., Lu, S.-T., & Tzeng, G.-H. (2004). Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International Journal of Project Management, 22, 573-584.
28. Jahan-Shahi, H., Shayan, E., & Masood, S. (1999). Cost estimation in flat plate processing using fuzzy sets. Computers & Industrial Engineering, 37(1-2), 485-488.
29. Kajanus, M., Kangas, J., & Kurttila, M. (2004). The use of value focused thinking and the A'WOT hybrid method in tourism management. Tourism Management, 25(4), 499-506.
30. Kaliszewski, I. (2006). Soft computing for complex multiple criteria decision making. Berlin: Springer.
31. Kim, S. H., & Ahn, B. S. (1999). Interactive group decision making procedure under incomplete information. European Journal of Operational Research, 116(3), 498-507.
32. Kleindorfer, P. R., Kunreuther, H. C., & Schoemaker, P. J. H. (1993). Decision sciences: an integrative perspective. New York: Cambridge University Press.
33. Klir, G. J., & Yuan, B. (1995). Fuzzy sets and fuzzy logic, theory and applications. Upper Saddle River: Prentice Hall.
34. Kurttila, M., Pesonen, M., Kangas, J., & Kajanus, M. (2000). Utilizing the analytic hierarchy process (AHP) in SWOT analysis-a hybrid method and its application to a forest-certification case. Forest Policy and Economics, 1(1), 41-52.
35. Leyva-Lopez, J. C., & Fernandez-Gonzalez, E. (2003). A new method for group decision support based on ELECTRE III methodology. European Journal of Operational Research, 148, 14-27.
36. Liesiö, J., Mild, P., & Salo, A. (2007). Preference programming for robust portfolio modeling and project selection. European Journal of Operational Research, 181, 1488-1505.
37. Lin, C., & Hsieh, P. J. (2003). A fuzzy decision support system for strategic portfolio management. Decision Support Systems, 38, 383-398.
38. Lootsma, F. A., Mensch, T. C. A., & Vos, F. A. (1990). Multi-criteria analysis and budget reallocation in long-term research planning. European Journal of Operational Research, 47(3), 293-305.
39. Masozera, M. K., Alavalapati, J. R. R., Jacobson, S. K., & Shrestha, R. K. (2006). Assessing the suitability of community-based management for the Nyungwe forest reserve, Rwanda. Forest Policy and Economics, 8(2), 206-216.
40. Mathieu, R. G., & Gibson, J. E. (1993). A methodology for large-scale R& D planning based on cluster analysis. IEEE Transactions on Engineering Management, 40(3), 283-292.
41. Miller, G. A. (1956). The magical number seven plus or minus two: some limits on our capacity for processing information. The Psychological Review, 63, 81-97.
42. Mojsilovi, A., Ray, B., Lawrence, R., & Takriti, S. (2007). A logistic regression framework for information technology outsourcing lifecycle management. Computers and Operations Research, 34, 3609-3627.
43. Muzzioli, S., & Reynaerts, H. (2007). The solution of fuzzy linear systems by non-linear programming: a financial application. European Journal of Operational Research, 177(2), 1218-1231.
44. Novicevic, M. M., Harvey, M., Autry, C. W., & Bond, E. U., III (2004). Dual-perspective SWOT: a synthesis of marketing intelligence and planning. Marketing Intelligence & Planning, 22(1), 84-94.
45. Osawa, Y., & Murakami, M. (2002). Development and application of a new methodology of evaluating industrial R& D projects. Research & Development Management, 32, 79-85.
46. Paisittanand, S., & Olson, D. L. (2006). A simulation study of IT outsourcing in the credit card business. European Journal of Operational Research, 175, 1248-1261.
47. Panagiotou, G. (2003). Bringing SWOT into focus. Business Strategy Review, 14(2), 8-10.
48. Pap, E., Bosnjak, Z., & Bosnjak, S. (2000). Application of fuzzy sets with different t-norms in the interpretation of portfolio matrices in strategic management. Fuzzy Sets and Systems, 114, 123-131.
49. Poyhonen, M. A., Hamalainen, R. P., & Salo, A. A. (1997). An experiment on the numerical modelling of verbal ratio statements. Journal of Multi-Criteria Decision Analysis, 6(1), 1-10.
50. Rolly Intan, R., & Mukaidono, M. (2004). Fuzzy conditional probability relations and their applications in fuzzy information systems. Knowledge and Information Systems, 6(3), 345-365.
51. Roychowdhury, S., & Pedrycz, W. (2001). A survey of defuzzification strategies. International Journal of Intelligent Systems, 16, 679-695.
52. Runkler, T. A. (1996). Extended defuzzification methods and their properties. IEEE Transactions, 694-700.
53. Saaty, T. L. (2003). Decision-making with the AHP: why is the principal eigenvector necessary? European Journal of Operational Research, 145(1), 85-91.
54. Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15, 234-281.
55. Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill.
56. Saaty, T. L. (1989). Decision making, scaling, and number crunching. Decision Sciences, 20, 404-409.
57. Saaty, T. L. (1990a). How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 48, 9-26.
58. Saaty, T. L. (1990b). An exposition of the AHP in reply to the paper 'Remarks on the analytic hierarchy process'. Management Science, 36(3), 259-268.
59. Saaty, T. L. (2006). Fundamentals of decision making and priority theory with the analytic hierarchy process. Pittsbutgh: RWS.
60. Saaty, T. L., & Sodenkamp, M. (2008). Making decisions in hierarchic and network systems. International Journal of Applied Decision Sciences, 1(1), 24-79.
61. Saaty, T. L., & Tran, L. T. (2007). On the invalidity of fuzzifying numerical judgments in the analytic hierarchy process. Mathematical and Computer Modelling, 46(7-8), 962-975.
62. Schelling, T. C. (1960). The strategy of conflict. Cambridge: Harvard University Press.
63. Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27, 379-423, 623-656.
64. Shinno, H., Yoshioka, H., Marpaung, S., & Hachiga, S. (2006). Quantitative SWOT analysis on global competitiveness of machine tool industry. Journal of Engineering Design, 17(3), 251-258.
65. Shrestha, R. K., Alavalapati, J. R. R., & Kalmbacher, R. S. (2004). Exploring the potential for silvopasture adoption in south-central Florida: an application of SWOT-AHP method. Agricultural Systems, 81(3), 185-199.
66. Slyeptsov, A. I., & Sodenkamp, M. A. (2007). Decision making in complex systems. Kyjiv: National Pedagogical Dragomanov University.
67. Sodenkamp, M. A. (2005). Soft models of SWOT-analysis on the base of pairwise comparisons networks. Bulletin of Donetsk University, Series A: Natural sciences, 2, 375-380.
68. Tavana, M. (2006). A priority assessment multi-criteria decision model for human spaceflight mission planning at NASA. Journal of the Operational Research Society, 57, 1197-1215.
69. Tavana, M. (2004). A subjective assessment of alternative mission architectures for the human exploration of Mars at NASA using multicriteria decision making. Computers and Operations Research, 31, 1147-1164.
70. Tavana, M. (2002). Euclid: strategic alternative assessment matrix. Journal of Multi-Criteria Decision Analysis, 11, 75-96.
71. Tavana, M., & Banerjee, S. (1995). Strategic assessment model (SAM): a multiple criteria decision support system for evaluation of strategic alternatives. Decision Sciences, 26, 119-143.
72. Tavana, M., Bourgeois, B., & Sodenkamp, M. (2009). Fuzzy multiple criteria base realignment and closure (BRAC) benchmarking system at the department of defense. Benchmarking: An International Journal, 16(2), 192-222.
73. Tavana, M., & Sodenkamp, M. A. (2009). A fuzzy multi-criteria decision analysis model for advanced technology assessment at Kennedy space center. Journal of the Operational Research Society. doi: 10. 1057/jors. 2009. 107, advance online publication.
74. Triantaphyllou, E. (2000). Multi-criteria decision making methods: a comparative study. Boston: Kluwer Academic.
75. Triantaphyllou, E., & Baig, K. (2005). The impact of aggregating benefit and cost criteria in four MCDA methods. IEEE Transactions on Engineering Management, 52, 213-226.
76. Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: an overview of applications. European Journal of Operational Research, 169, 1-29.
77. Valentin, E. K. (2001). SWOT analysis from a resource-based view. Journal of Marketing Theory and Practice, 9(2), 54-68.
78. Valls, A., & Torra, V. (2000). Using classification as an aggregation tool in MCDM. Fuzzy Sets and Systems, 15(1), 159-168.
79. Van Leekwijk, W., & Kerre, E. E. (1999). Defuzzification: criteria and classification. Fuzzy Sets and Systems, 108(2), 159-178.
80. Walters-York, M., & Curatola, A. P. (2000). Theoretical reflections on the use of students as surrogate subjects in behavioral experimentation. Advances in Accounting Behavioral Research, 3, 243-263.
81. Wang, J., & Hwang, W.-L. (2007). A fuzzy set approach for R& D portfolio selection using a real options valuation model. Omega, 35, 247-257.
82. Yang, J. B., & Xu, D. L. (2002). On the evidential reasoning algorithm for multiattribute decision analysis under uncertainty. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 32(3), 289-304.
83. Zadeh, L. A. (1998). Roles of soft computing and fuzzy logic in the conception, design and deployment of information/intelligent systems. In Computational intelligence: soft computing and fuzzy-neuro integration with applications (pp. 1-9).
84. Zadeh, L. A. (1999). From computing with numbers to computing with words, from manipulation of measurements to manipulation of perceptions. IEEE Transactions on Circuits and Systems, 45(1), 105-119.
85. Zeleny, M. A. (1974). Concept of compromise solutions and the method of the disptaced ideal. Computers and Operations Research, 1(3-4), 479-496.
86. Zeleny, M. A. (1982). Multiple criteria decision making. New York: McGraw-Hill.
87. Zopounidis, C., & Doumpos, M. (2001). Multicriteria decision aid in uncertainty and financial risk management. In J. Gil-Aluja (Ed.), Handbook of management under uncertainty. Dordrecht: Kluwer Academic.